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1880506

智慧農業的物聯網感測器網路市場預測（至2032年）：按感測器類型、連接方式、應用、最終用戶和地區分類的全球分析

IoT Sensor Networks for Smart Farming Market Forecasts to 2032 - Global Analysis By Sensor Type (Soil Sensors, Climate Sensors, Crop Sensors and Other Sensor Types), Connectivity, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的研究，預計 2025 年全球智慧農業物聯網感測器網路市場規模將達到 86 億美元，到 2032 年將達到 229 億美元，預測期內複合年成長率為 15%。

智慧農業物聯網感測器網路是由感測器、設備和通訊技術組成的互聯系統，旨在監測和最佳化農業生產過程。這些網路即時收集土壤濕度、溫度、濕度、養分含量、作物健康狀況和牲畜狀況等數據。收集到的數據被送到集中式平台進行分析，從而實現灌溉、施肥、病蟲害防治和產量管理方面的精準決策。透過自動化監測和提供可操作的洞察，物聯網感測器網路能夠提高效率、減少資源浪費並改善作物品質和產量——這是現代、永續和數據驅動型農業實踐的核心要素。

精密農業解決方案的需求日益成長

農民正在部署連網感測器，以精確監測土壤濕度、養分含量、作物健康狀況和灌溉效率。這些網路能夠實現即時數據採集和預測分析，從而提高產量並減少資源浪費。人工智慧、雲端運算和邊緣設備的進步正在提升物聯網感測器的分析能力。各國政府和農業相關企業正在推廣基於感測器的精密農業，以增強糧食安全和永續性。人們對氣候變遷的日益關注進一步凸顯了基於物聯網的監測的重要性，並加速了其應用。

農民缺乏技術專長

許多小規模農戶缺乏解讀感測器數據並將其應用於日常耕作的培訓。複雜的安裝和維護要求阻礙了農村地區的普及。相關機構在提供足夠的培訓和支援方面也面臨挑戰。對外部顧問的高度依賴增加了成本，並降低了農民獨立使用的信心。因此，這些因素持續阻礙數位農業工具的廣泛市場應用。

對高效率資源管理的需求日益成長

農民越來越依賴連網感測器來最佳化用水、施肥和病蟲害防治。平台正在將物聯網數據與預測模型相結合，以降低投入成本並提高永續性。雲端基礎的解決方案透過減少基礎設施障礙，改善了小規模農戶的農業生產體驗。農業技術Start-Ups正在根據當地農業條件客製化物聯網感測器網路，並擴大其應用範圍。全球對智慧農業投資的不斷成長正在加速創新和應用。

資料安全和隱私問題

農民和機構日益擔憂敏感農業資料遭到未授權存取。駭客攻擊和資料外洩等網路安全風險削弱了人們對互聯平台的信任。對雲端儲存的依賴引發了人們對資料所有權和遵守當地法規的擔憂。資料處理流程缺乏透明度削弱了相關人員的信任。監管機構對物聯網主導的農業決策中的問責制提出了課責。因此，這些因素阻礙了市場建立完全信任。

新冠疫情的感染疾病：

新冠疫情推動了市場蓬勃發展。疫情擾亂了傳統的供應鏈，加速了農業數位化轉型。封鎖措施凸顯了遠端監控和物聯網分析對於維持農業生產的重要性。感測器網路透過擴展基礎設施和為農民提供行動優先解決方案來應對這一需求。世界各國政府大力推動數位農業計劃，以確保危機期間的糧食安全。即使在疫情結束後，結合實地經驗和物聯網洞察的混合模式依然保持著強勁的發展勢頭。此次危機使物聯網感測器網路成為提升農業韌性的主流工具，並將其融入長期農業舉措中。

預計在預測期內，作物感測器細分市場將佔據最大的市場佔有率。

由於土壤濕度感測器、養分監測器和作物健康追蹤器等能夠提供即時資訊以支持精密農業的應用日益普及，預計作物感測器領域將在預測期內佔據最大的市場佔有率。農民正在擴大作物感測器的應用範圍，以降低投入成本並提高產量預測的準確性。物聯網連接技術的進步和感測器小型化使得作物感測器更加經濟實惠且易於取得。農業相關企業正在將作物感測器整合到其智慧農業平台中，以提高永續性和盈利。政府和非政府組織正透過補貼和宣傳活動推廣基於感測器的農業，進一步推動其應用。

預計大型商業農場領域在預測期內將實現最高的複合年成長率。

由於對物聯網基礎設施、高級分析和自動化技術的投入不斷增加，以支持大規模精密農業營運，預計大型商業農場領域在預測期內將實現最高成長率。商業農場正在部署感測器網路，以有效管理大面積土地並減少資源浪費。物聯網感測器與無人機和衛星影像的整合正在提高擴充性和準確性。對出口級農產品需求的成長正在推動先進監測系統的應用。農業相關企業正在將物聯網感測器網路整合到其企業平台中，以提高生產力和盈利。

佔比最大的地區：

在預測期內，北美預計將鞏固其長期領先地位，並保持最大的市場佔有率，這得益於其先進的數位基礎設施、對精密農業的大力機構投資以及農民對物聯網感測器益處的高度認知。美國和加拿大主導物聯網感測器技術的應用，將其融入主流農業實踐。大學和農業相關企業正將感測器網路應用於研究和商業營運，以提高產量。創業投資正在加速全部區域農業科技Start-Ups的創新。農民對數位化工具的投資意願也鞏固了主導地位。

年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於快速的都市化以及小規模農戶對價格合理的物聯網感測器平台日益成長的需求，這將擴大物聯網在各個農業領域的應用。中國、印度、日本和韓國等國家正透過國家級數位農業計畫推動物聯網的普及。中產階級收入的成長和行動網路普及率的提高也推動了對價格合理的感測器解決方案的需求。本地Start-Ups和全球公司正在拓展其以行動優先的物聯網服務，以滿足該地區的農業需求。各機構也擴大採用將物聯網洞察與傳統方法結合的混合模式。東南亞電子商務的蓬勃發展正在創造新的機遇，並進一步推動動物聯網感測器整合的發展。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 原始研究資料
    • 次級研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球智慧農業物聯網感測器網路市場（按感測器類型分類）

  • 介紹
  • 土壤感測器
  • 氣候感測器
  • 作物感測器
  • 牲畜感測器
  • 水資源管理感測器
  • 其他感測器類型

6. 全球物聯網感測器網路在智慧農業市場的連結性

  • 介紹
  • 有線感測器網路
  • 無線感測器網路
  • 混合系統
  • 衛星連線
  • 其他連接方式

7. 全球物聯網感測器網路市場在智慧農業領域的應用

  • 介紹
  • 精準作物監測
  • 灌溉和水資源管理
  • 肥料和養分最佳化
  • 病蟲害防治
  • 牲畜監測
  • 其他用途

第8章 全球物聯網感測器網路市場：智慧農業的最終用戶

  • 介紹
  • 大型商業農場
  • 中型農場
  • 小規模農場
  • 研究和政府機構
  • 其他最終用戶

9. 全球智慧農業物聯網感測器網路市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與併購
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第11章 企業概況

  • Bosch
  • Cisco Systems
  • IBM
  • Siemens
  • Huawei Technologies
  • Schneider Electric
  • Pessl Instruments
  • Libelium
  • Sentek Technologies
  • CropX Technologies
  • Arable Labs
  • Prospera Technologies
  • Taranis
  • Farmers Edge
Product Code: SMRC32508

According to Stratistics MRC, the Global IoT Sensor Networks for Smart Farming Market is accounted for $8.6 billion in 2025 and is expected to reach $22.9 billion by 2032 growing at a CAGR of 15% during the forecast period. IoT sensor networks for smart farming refer to interconnected systems of sensors, devices, and communication technologies designed to monitor and optimize agricultural processes. These networks collect real-time data on soil moisture, temperature, humidity, nutrient levels, crop health, and livestock conditions. The data is transmitted to centralized platforms for analysis, enabling precise decision-making in irrigation, fertilization, pest control, and yield management. By automating monitoring and providing actionable insights, IoT sensor networks enhance efficiency, reduce resource wastage, and improve crop quality and productivity. They form a core component of modern, sustainable, and data-driven agriculture practices.

Market Dynamics:

Driver:

Rising demand for precision agriculture solutions

Farmers are deploying connected sensors to monitor soil moisture, nutrient levels, crop health, and irrigation efficiency with accuracy. These networks enable real-time data collection and predictive analytics that improve yields and reduce resource wastage. Advances in AI, cloud computing, and edge devices are enhancing the analytical capabilities of IoT sensors. Governments and agribusinesses are promoting sensor-based precision agriculture to strengthen food security and sustainability. Rising awareness of climate variability is reinforcing the importance of IoT-enabled monitoring, thereby accelerating adoption.

Restraint:

Limited technical expertise among farmers

Many smallholder farmers lack the training to interpret sensor data and integrate insights into daily operations. Complex installation and maintenance requirements discourage adoption in rural regions. Institutions face challenges in providing adequate training and support for digital agriculture tools. High dependence on external consultants increases costs and reduces confidence in independent usage. Therefore, this continues to hinder the market from achieving mass adoption.

Opportunity:

Growing need for efficient resource management

Farmers are increasingly relying on connected sensors to optimize water usage, fertilizer application, and pest control. Platforms are integrating IoT data with predictive models to reduce input costs and improve sustainability. Cloud-based solutions are enhancing accessibility for smallholder farmers by lowering infrastructure barriers. Agritech startups are tailoring IoT sensor networks to local farming conditions, thereby expanding reach. Rising global investments in smart farming are accelerating innovation and adoption.

Threat:

Data security and privacy concerns

Farmers and institutions are increasingly worried about unauthorized access to sensitive farm data. Cybersecurity risks such as hacking and data breaches undermine trust in connected platforms. Dependence on cloud storage raises concerns about data ownership and compliance with local regulations. Limited transparency in data handling processes weakens confidence among stakeholders. Regulatory bodies are raising questions about accountability in IoT-driven farming decisions. Therefore, this hampers the market from achieving full credibility.

Covid-19 Impact:

The market experienced a surge due to Covid-19, which disrupted traditional supply chains and accelerated digital adoption in agriculture. Lockdowns highlighted the need for remote monitoring and IoT-enabled analytics to sustain farming operations. Sensor networks responded by scaling infrastructure and offering mobile-first solutions for farmers. Governments promoted digital agriculture initiatives to ensure food security during the crisis. Post-pandemic, hybrid models combining field expertise with IoT insights are sustaining momentum. The crisis normalized IoT sensor networks as mainstream tools for resilience, thereby embedding them into long-term agricultural strategies.

The crop sensors segment is expected to be the largest during the forecast period

The crop sensors segment is expected to account for the largest market share during the forecast period due to rising adoption of soil moisture sensors, nutrient monitors, and crop health trackers that provide real-time insights for precision farming. Farmers are increasingly deploying crop sensors to reduce input costs and improve yield predictability. Advances in IoT connectivity and sensor miniaturization are making crop sensors more affordable and accessible. Agribusinesses are embedding crop sensors into smart farming platforms to enhance sustainability and profitability. Governments and NGOs are promoting sensor-based agriculture through subsidies and awareness programs, thereby reinforcing adoption.

The large-scale commercial farms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the large-scale commercial farms segment is predicted to witness the highest growth rate owing to increasing investments in IoT infrastructure, advanced analytics, and automation that support large-scale precision farming operations. Commercial farms are adopting sensor networks to manage vast acreage efficiently and reduce resource wastage. Integration of IoT sensors with drones and satellite imaging is enhancing scalability and accuracy. Rising demand for export-quality crops is reinforcing adoption of advanced monitoring systems. Agribusinesses are embedding IoT sensor networks into enterprise platforms to improve productivity and profitability.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to advanced digital infrastructure, strong institutional investments in precision agriculture, and high farmer awareness of IoT sensor benefits that reinforce long-term leadership. The U.S. and Canada are leading adoption through integration of IoT sensors into mainstream farming practices. Universities and agribusinesses are embedding sensor networks into research and commercial operations to improve yields. Venture capital funding is accelerating innovation in agritech startups across the region. High farmer willingness to invest in digital tools reinforces market leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rapid urbanization and rising smallholder demand for affordable IoT sensor platforms that expand access across diverse agricultural segments. Countries such as China, India, Japan, and South Korea are driving adoption through national digital agriculture programs. Rising middle-class incomes and mobile penetration are expanding demand for affordable sensor solutions. Local startups and global players are scaling mobile-first IoT services tailored to regional farming needs. Institutions are increasingly adopting hybrid models that combine IoT insights with traditional practices. E-commerce growth in Southeast Asia is creating new opportunities for IoT sensor integration, thereby reinforcing momentum.

Key players in the market

Some of the key players in IoT Sensor Networks for Smart Farming Market include Bosch, Cisco Systems, IBM, Siemens, Huawei Technologies, Schneider Electric, Pessl Instruments, Libelium, Sentek Technologies, CropX Technologies, Arable Labs, Prospera Technologies, Taranis and Farmers Edge.

Key Developments:

In April 2024, IBM Consulting partnered with SAP to help agricultural chemical companies develop sustainable product portfolios. This initiative utilizes IoT sensor data from farms, integrated with SAP's systems and analyzed using IBM's AI, to track the environmental impact of agrochemicals.

In June 2023, Bosch BASF Smart Farming deepened its collaboration with agricultural giant John Deere, focusing on data-driven crop management. This partnership enhances the xarvio(R) Digital Farming Platform by enabling direct data exchange with John Deere's Operations Center.

Sensor Types Covered:

  • Soil Sensors
  • Climate Sensors
  • Crop Sensors
  • Livestock Sensors
  • Water Management Sensors
  • Other Sensor Types

Connectivities Covered:

  • Wired Sensor Networks
  • Wireless Sensor Networks
  • Hybrid Systems
  • Satellite Connectivity
  • Other Connectivities

Applications Covered:

  • Precision Crop Monitoring
  • Irrigation & Water Management
  • Fertilizer & Nutrient Optimization
  • Pest & Disease Management
  • Livestock Monitoring
  • Other Applications

End Users Covered:

  • Large-Scale Commercial Farms
  • Medium Farms
  • Smallholder Farms
  • Research Institutions & Government Agencies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global IoT Sensor Networks for Smart Farming Market, By Sensor Type

  • 5.1 Introduction
  • 5.2 Soil Sensors
  • 5.3 Climate Sensors
  • 5.4 Crop Sensors
  • 5.5 Livestock Sensors
  • 5.6 Water Management Sensors
  • 5.7 Other Sensor Types

6 Global IoT Sensor Networks for Smart Farming Market, By Connectivity

  • 6.1 Introduction
  • 6.2 Wired Sensor Networks
  • 6.3 Wireless Sensor Networks
  • 6.4 Hybrid Systems
  • 6.5 Satellite Connectivity
  • 6.6 Other Connectivities

7 Global IoT Sensor Networks for Smart Farming Market, By Application

  • 7.1 Introduction
  • 7.2 Precision Crop Monitoring
  • 7.3 Irrigation & Water Management
  • 7.4 Fertilizer & Nutrient Optimization
  • 7.5 Pest & Disease Management
  • 7.6 Livestock Monitoring
  • 7.7 Other Applications

8 Global IoT Sensor Networks for Smart Farming Market, By End User

  • 8.1 Introduction
  • 8.2 Large-Scale Commercial Farms
  • 8.3 Medium Farms
  • 8.4 Smallholder Farms
  • 8.5 Research Institutions & Government Agencies
  • 8.6 Other End Users

9 Global IoT Sensor Networks for Smart Farming Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Bosch
  • 11.2 Cisco Systems
  • 11.3 IBM
  • 11.4 Siemens
  • 11.5 Huawei Technologies
  • 11.6 Schneider Electric
  • 11.7 Pessl Instruments
  • 11.8 Libelium
  • 11.9 Sentek Technologies
  • 11.10 CropX Technologies
  • 11.11 Arable Labs
  • 11.12 Prospera Technologies
  • 11.13 Taranis
  • 11.14 Farmers Edge

List of Tables

  • Table 1 Global IoT Sensor Networks for Smart Farming Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global IoT Sensor Networks for Smart Farming Market Outlook, By Sensor Type (2024-2032) ($MN)
  • Table 3 Global IoT Sensor Networks for Smart Farming Market Outlook, By Soil Sensors (2024-2032) ($MN)
  • Table 4 Global IoT Sensor Networks for Smart Farming Market Outlook, By Climate Sensors (2024-2032) ($MN)
  • Table 5 Global IoT Sensor Networks for Smart Farming Market Outlook, By Crop Sensors (2024-2032) ($MN)
  • Table 6 Global IoT Sensor Networks for Smart Farming Market Outlook, By Livestock Sensors (2024-2032) ($MN)
  • Table 7 Global IoT Sensor Networks for Smart Farming Market Outlook, By Water Management Sensors (2024-2032) ($MN)
  • Table 8 Global IoT Sensor Networks for Smart Farming Market Outlook, By Other Sensor Types (2024-2032) ($MN)
  • Table 9 Global IoT Sensor Networks for Smart Farming Market Outlook, By Connectivity (2024-2032) ($MN)
  • Table 10 Global IoT Sensor Networks for Smart Farming Market Outlook, By Wired Sensor Networks (2024-2032) ($MN)
  • Table 11 Global IoT Sensor Networks for Smart Farming Market Outlook, By Wireless Sensor Networks (2024-2032) ($MN)
  • Table 12 Global IoT Sensor Networks for Smart Farming Market Outlook, By Hybrid Systems (2024-2032) ($MN)
  • Table 13 Global IoT Sensor Networks for Smart Farming Market Outlook, By Satellite Connectivity (2024-2032) ($MN)
  • Table 14 Global IoT Sensor Networks for Smart Farming Market Outlook, By Other Connectivities (2024-2032) ($MN)
  • Table 15 Global IoT Sensor Networks for Smart Farming Market Outlook, By Application (2024-2032) ($MN)
  • Table 16 Global IoT Sensor Networks for Smart Farming Market Outlook, By Precision Crop Monitoring (2024-2032) ($MN)
  • Table 17 Global IoT Sensor Networks for Smart Farming Market Outlook, By Irrigation & Water Management (2024-2032) ($MN)
  • Table 18 Global IoT Sensor Networks for Smart Farming Market Outlook, By Fertilizer & Nutrient Optimization (2024-2032) ($MN)
  • Table 19 Global IoT Sensor Networks for Smart Farming Market Outlook, By Pest & Disease Management (2024-2032) ($MN)
  • Table 20 Global IoT Sensor Networks for Smart Farming Market Outlook, By Livestock Monitoring (2024-2032) ($MN)
  • Table 21 Global IoT Sensor Networks for Smart Farming Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 22 Global IoT Sensor Networks for Smart Farming Market Outlook, By End User (2024-2032) ($MN)
  • Table 23 Global IoT Sensor Networks for Smart Farming Market Outlook, By Large-Scale Commercial Farms (2024-2032) ($MN)
  • Table 24 Global IoT Sensor Networks for Smart Farming Market Outlook, By Medium Farms (2024-2032) ($MN)
  • Table 25 Global IoT Sensor Networks for Smart Farming Market Outlook, By Smallholder Farms (2024-2032) ($MN)
  • Table 26 Global IoT Sensor Networks for Smart Farming Market Outlook, By Research Institutions & Government Agencies (2024-2032) ($MN)
  • Table 27 Global IoT Sensor Networks for Smart Farming Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.